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DSA Pythonprogramming~5 mins

Merge Two Sorted Linked Lists in DSA Python - Cheat Sheet & Quick Revision

Choose your learning style9 modes available
Recall & Review
beginner
What is the main goal when merging two sorted linked lists?
To create a new linked list that contains all elements from both lists in sorted order without changing the original lists.
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beginner
In merging two sorted linked lists, why do we compare the current nodes of both lists?
We compare to decide which node has the smaller value so it can be added next to the merged list, keeping the merged list sorted.
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intermediate
What happens when one linked list is fully traversed but the other still has nodes left during merging?
All remaining nodes from the non-empty list are appended to the merged list because they are already sorted.
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intermediate
Explain the role of a 'dummy' node in merging two sorted linked lists.
A dummy node acts as a starting point for the merged list, simplifying the code by avoiding special cases for the head node.
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intermediate
What is the time complexity of merging two sorted linked lists with lengths m and n?
O(m + n) because each node from both lists is visited exactly once during the merge.
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What is the first step when merging two sorted linked lists?
ACompare the first nodes of both lists
BReverse both lists
CCreate a new empty list and add all nodes from the first list
DDelete duplicates from both lists
If the first list's current node value is smaller, what do we do?
AAdd the node from the first list to the merged list
BAdd the node from the second list
CSkip the node from the first list
DStop merging
What do we do after adding a node from one list to the merged list?
AMove to the next node in the other list
BMove to the next node in that list
CRestart from the head of both lists
DDelete the added node
When is the merging process complete?
AWhen the second list is empty
BWhen the first list is empty
CWhen both lists are fully traversed
DAfter adding the first node
Why is a dummy node useful in merging linked lists?
AIt stores the largest value
BIt reverses the lists
CIt deletes duplicate nodes
DIt helps avoid special cases for the head of the merged list
Describe step-by-step how to merge two sorted linked lists into one sorted linked list.
Think about how you pick the smallest item from two sorted lines of people.
You got /5 concepts.
    Explain why the time complexity of merging two sorted linked lists is O(m + n).
    Consider how many total steps you take to look at every item in both lists.
    You got /4 concepts.